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Role: GCP Data Engineer Duration : Fulltime/Contract Location : Fremont, CA (3 days a week hybrid) We are looking for a skilled Data Engineer with proven experience in building and maintaining scalable data pipelines and cloud-based data platforms on Google Cloud Platform (GCP). The ideal candidate should have hands-on expertise in Python, SQL, PySpark, BigQuery, Airflow, and modern ETL/ELT frameworks .The role involves working closely with analytics, business, and engineering teams to enable reliable and scalable data solutions . Responsibiliti esDesign, develop, and maintain scalable data pipelines using Python and PySpa rkBuild and optimize ETL/ELT workflows using Apache Airfl owDevelop data transformation models and workflows using d btWork with BigQuery for data warehousing, querying, and optimizati onWrite efficient and optimized SQL queries for large-scale data processi ngEnsure data quality, integrity, and reliability across pipelin esCollaborate with Data Analysts, Data Scientists, and business stakeholders for data requiremen tsMonitor and troubleshoot production data workflows and resolve issues proactive lyImplement best practices for logging, monitoring, testing, and CI/ CDOptimize cloud resource usage and cost efficiency on G CPParticipate in code reviews and engineering best practic es Required Ski llsStrong hands-on experience with Python and SQLExperience with PySpark and distributed data process ingGood knowledge of BigQuery and GCP servi cesExperience with Apache Airflow for orchestrat ionHands-on experience with dbt for data transformation and model ingUnderstanding of ETL/ELT frameworks and data warehousing conce pts Familiarity with GCP services such as:BigQ ueryCloud Sto rageData procComp oserPub /SubExperience with Git and CI/CD pract icesStrong analytical and problem-solving sk ills Good to HaveExposure to streaming pipelines using Kafka or Pu b/SubUnderstanding of data governance and security con ceptsExperience with Terraform or Infrastructure as CodeKnowledge of containerization (Docker/Kubern etes) Preferred Qualifi cationBachelor’s degree in Computer Science, Engineering, or related fieldGCP certification is a plus
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.